Systems and methods for improving the performance of a quantum processor to reduce intrinsic/control errors

a quantum processor and performance improvement technology, applied in the field of computational solving problems, can solve problems such as limiting the amount of control the user can exert, hardware elements subject to practical constraints, and the final low-energy state may not be the global energy minimum, so as to remove bias

Active Publication Date: 2017-01-19
D WAVE SYSTEMS INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0022]A computational system may be summarized as including at least one quantum processor comprising a plurality of qubits and a plurality of couplers, each of the plurality of qubits having a respective controllable local bias term and each of the plurality of couplers having a respective controllable coupling term; at least one processor-based device communicatively coupled to the at least one quantum processor; and at least one non-transitory processor-readable storage medium communicatively coupled to the at least one processor-based device and that stores at least one of processor-executable instructions or data, where in use the at least one processor-based device: causes the at least one quantum processor to set each of the coupling terms to a first calibrated zero value; causes the at least one quantum processor to set each of the local bias terms to a target value

Problems solved by technology

However, the final low-energy state may not be the global energy minimum.
These hardware elements are subject to practical constraints, both in design and fabrication that ultimately l

Method used

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  • Systems and methods for improving the performance of a quantum processor to reduce intrinsic/control errors
  • Systems and methods for improving the performance of a quantum processor to reduce intrinsic/control errors
  • Systems and methods for improving the performance of a quantum processor to reduce intrinsic/control errors

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Embodiment Construction

[0057]In the following description, some specific details are included to provide a thorough understanding of various disclosed embodiments. One skilled in the relevant art, however, will recognize that embodiments may be practiced without one or more of these specific details, or with other methods, components, materials, etc. In other instances, well-known structures associated with digital processors, such as digital microprocessors, digital signal processors (DSPs), digital graphical processing units (GPUs), field programmable gate arrays (FPGAs), and / or application specific integrated circuits (ASICs); analog or quantum processors, such as quantum devices, coupling devices, and associated control systems including microprocessors, processor-readable nontransitory storage media, and drive circuitry have not been shown or described in detail to avoid unnecessarily obscuring descriptions of the embodiments of the invention.

[0058]Unless the context requires otherwise, throughout th...

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Abstract

Techniques for improving the performance of a quantum processor are described. Some techniques employ reducing intrinsic/control errors by using quantum processor-wide problems specifically crafted to reveal errors so that corrections may be applied. Corrections may be applied to physical qubits, logical qubits, and couplers so that problems may be solved using quantum processors with greater accuracy.

Description

BACKGROUND[0001]Field[0002]This disclosure generally relates to computationally solving problems.[0003]Solvers[0004]A solver is a mathematical-based set of instructions executed via hardware that is designed to solve mathematical problems. Some solvers are general purpose solvers, designed to solve a wide type or class of problems. Other solvers are designed to solve specific types or classes of problems. A non-limiting exemplary set of types or classes of problems includes: linear and non-linear equations, systems of linear equations, non-linear systems, systems of polynomial equations, linear and non-linear optimization problems, systems of ordinary differential equations, satisfiability problems, logic problems, constraint satisfaction problems, shortest path or traveling salesperson problems, minimum spanning tree problems, and search problems.[0005]There are numerous solvers available, most of which are designed to execute on classical computing hardware, that is computing hard...

Claims

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Application Information

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IPC IPC(8): G06N99/00G06F15/82
CPCG06F15/82G06N99/002G06N10/00
Inventor LANTING, TREVOR MICHAELKING, ANDREW
Owner D WAVE SYSTEMS INC
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